TN-919: Penetration Tester Course

Course Overview:

This course engages students by providing in-depth knowledge of the most prominent and powerful attack vectors and an environment to perform these attacks in numerous hands-on scenarios. This course goes far beyond simple scanning for low-hanging fruit, and shows penetration testers how to model the abilities of an advanced attacker to find significant flaws in a target environment and demonstrate the business risk associated with these flaws.

Attendees to TN-919:Penetration Tester course will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Course Duration: 5 days

Course Objectives:

Advanced Hash Manipulation
Command Shell vs. Terminal Access
Enumerating Users
Exploitation Fundamentals
Injection Attacks
Legal Issues
Metasploit
Moving Files with Exploits
Obtaining and Passing Password Representations
Overview of Passwords
Penetration Testing Foundations
Penetration Testing Process
Penetration Testing via the Command Line
Profiling the Target
Reconnaissance
Scanning for Targets
Using a Proxy to Attack a Web Application
Vulnerability Scanning
Wireless Crypto and Client Attacks
Wireless Fundamentals

Course Prerequisites:

GSEC or equivalent experience
UNIX, Windows, networking, and security experience
This is a hands-on skill course requiring comfort with command line interaction and network communications

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User: kdwagoner

Instructor comments: Very knowledgeable. Kept class focused and on task

Facilities comments: Good

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RH-355: RHCSA Rapid Track Course

Course Overview:

The RHCSA Rapid Track Course is designed for experienced Linux® system administrators who want to expand their technical skill sets and become accredited with the Red Hat® Certified System Administration (RHCSA) certification. To successfully navigate this course, students should have experience with the Linux command line—including the necessary skills to execute common commands, such as cp, grep, sort, mkdir, tar, mkfs, ssh, and dnf—and be familiar with accessing man pages for help. At the completion of the course, students will be adequately prepared to take the RHCSA exam (EX200) .

Date/Locations:

No Events

Duration: 5 days

Course Objectives:

Introduce Linux and the Red Hat Enterprise Linux ecosystem.
Run commands and view shell environments.
Manage, organize, and secure files.
Manage users, groups and user security policies.
Control and monitor systemd services.
Configure remote access using the web console and SSH.
Configure network interfaces and settings.
Manage software using DNF
Access security files, file systems, and networks
Execute shell scripting and automation techniques
Manage storage devices, logical volumes, and file systems
Manage security and system access
Control the boot process and system services
Running containers

Prerequisites:

Experience in the field system administration.

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TN-425: Certified Offensive AI Security Professional (C|OASP)

Certified Offensive AI Security Professional (COASP) validates the competencies required for practitioners who need to demonstrate offensive AI security skills, emulating adversaries, validating defenses, and leading red-team/blue-team exercises to keep AI resilient, reliable, and auditable

The Certified Offensive AI Security Professional (COASP) equips you to identify and neutralize AI-specific threats before attackers do. And Bridges security, engineering, and data science so controls exist across the full AI life cycle.

Participants will gain hands-on experience to perform end-to-end adversarial testing and deliver defensive validation evidence including the ability to simulate adversarial AI kill chains, Harden AI architectures by secure system prompts, context windows, tool integrations, RAG pipelines, and agent memory, Conducting AI security assessments aligned to MITRE ATLAS, OWASP LLM/ML Top 10, NIST AI RMF, and DoD Test & Evaluation practices , This course covers how to build SOC-ready capabilities for AI-focused detection logic, incident playbooks, and forensic procedures , & how to execute prompt injection, adversarial prompting , Assess AI supply-chain risk , Implement defensive engineering controls and Produce assurance and compliance artifacts.

By the end of the course, learners will be well-prepared to take the Certified Offensive AI Security Professional (COASP) exam and demonstrate the ability to exploit vulnerabilities in LLMs and agents, and build defense that survive real world attacks, learners will master offensive techniques that break AI before the attackers do.

Course Outline:

01. Offensive AI and AI System Hacking Methodology

02. AI Reconnaissance and Attack Surface Mapping

03. AI Vulnerability Scanning and Fuzzing

04. Prompt Injection and LLM Application Attacks

05. Adversarial Machine Learning and Model Privacy Attacks

06. Data and Training Pipeline Attacks

07. Agentic AI and Model-to-Model Attacks

08. AI Infrastructure and Supply Chain Attacks

09. AI Security Testing, Evaluation, and Hardening

10. AI Incident Response and Forensics

Prerequisites:

TN-412: Artificial Intelligence Essentials (AI|E)

Dates/Locations:

No Events

MS-10231: Designing a Microsoft SharePoint 2010 and 2013 Infrastructure

Course Overview:

This course is intended for IT Professionals who use Microsoft SharePoint 2010 in a team-based, medium-sized to large environment. While they may have implemented a SharePoint deployment, they have limited experience in designing a SharePoint infrastructure. They likely work as a senior administrator who acts as a technical lead over a team of administrators. Members of this audience should have at least 6 months experience with SharePoint 2010 (including pre-released versions of the product).

Attendees to MS-10231: Designing a Microsoft SharePoint 2010/2013 Infrastructure will receive TechNow approved course materials and expert instruction.

Date/Location:

No Events

Duration: 5 days

Course Objectives:

Designing a Logical Architecture
Planning Service Application Architecture
Planning for Performance and Capacity
Designing a Physical Architecture
Designing a Security Plan
Planning Authentication
Planning Managed Metadata
Planning Social Computing
Designing Enterprise Search Strategy
Planning Enterprise Content Management
Developing a Plan for Governance
Designing a Maintenance and Monitoring Plan

Prerequisites:

At least 2 years experience administering, deploying, managing, monitoring, upgrading, migrating, and designing SharePoint servers
At least one year’s experience of mapping business requirements to logical and physical technical design
Working knowledge of network design, including network security

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CT-415: CompTIA SecAI+

CompTIA SecAI+ is the first certification in CompTIA’s expansion series, designed to help you secure, govern and responsibly integrate artificial intelligence into your cybersecurity operations. You’ll build the skills to defend AI systems, meet global compliance expectations and use AI to enhance threat detection, automation and innovation—so you can strengthen your expertise and help keep your organization’s systems and data secure.

SecAI+ helps you build practical AI security and automation skills on top of your existing expertise, so you can secure AI deployments, use AI‑assisted security tools with confidence, and stay ready for the next step in your cybersecurity career.

Course Objectives:

Apply AI concepts to strengthen your organization’s cybersecurity posture
Secure AI systems using advanced controls and protections to safeguard data, models, and infrastructure
Leverage AI technologies to automate workflows, accelerate incident response, and scale security operations
Navigate global GRC frameworks to ensure ethical and compliant AI adoption across industries
Defend against AI-driven threats like adversarial attacks, automated malware, and malicious use of generative AI
Integrate AI securely into DevSecOps pipelines and enterprise security strategies.

Dates/Locations:

No Events

Prerequisites: Recommended experience: 3–4 years in IT and 2+ years hands-on cybersecurity; Security+, CySA+, PenTest+, or equivalent recommended

SecAI+ (V1) exam objectives summary

Basic AI concepts related to cybersecurity (17%)

Explain core AI principles and terminology: Machine learning, deep learning, natural language processing, and automation.
Identify AI applications in security: Use cases for AI in threat detection, defense, and security operations.
Recognize AI-driven threats: Automated phishing, polymorphic malware, adversarial machine learning, and malicious use of generative AI.

Securing AI systems (40%)

Implement security controls: Protect AI systems, data, and models using robust technical safeguards.
Secure AI deployment environments: Apply best practices across on-premises, cloud, and hybrid infrastructures.
Mitigate adversarial risks: Defend against attacks targeting AI models, data pipelines, and inference layers.

AI-assisted security (24%)

Enhance detection and response: Use AI-driven tools to identify anomalies, detect threats, and accelerate incident remediation.
Automate security workflows: Integrate AI for event triage, alert correlation, and response orchestration.
Apply AI techniques in operations: Incorporate AI into threat modeling, behavior analysis, and continuous monitoring.

AI governance, risk, and compliance (19%)

Understand regulatory frameworks: Identify global governance requirements and their implications for AI adoption.
Integrate GRC into AI projects: Incorporate governance, risk management, and compliance practices throughout the AI lifecycle.
Ensure responsible AI use: Apply ethical guidelines, legal standards, and industry frameworks such as GDPR and NIST AI RMF.